- PhD in computational chemistry, organic chemistry, pharmaceutical chemistry, physical chemistry or alike.
- Experience in structure-based drug design.
- Experience in programming with Python and common data analysis and visualization libraries (e.g. NumPy, SciPy, scikit-learn, Pandas, Matplotlib, PyTorch, TensorFlow, etc).
- Additional experience in at least two of the following molecular modeling areas: virtual screening, computationally-driven lead optimization, ligand-based drug design, molecular dynamics, quantum chemistry, cheminformatics, ADMET and QSAR/QSPR.
- Excellent communication skills in English.
- Previous experience in pharma is positively evaluated.
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